journal article·2022-01-26

Recyclable Magnetic Fluorescence Sensor Based on Fe3O4 and Carbon Dots for Detection and Purification of Methcathinone in Sewage

Jiang Ling, Wenqi Zhang, Zijia Cheng, Yanjun Ding

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Abstract

Sensitive, rapid, and low-cost detection of drug traces in sewage is very important for drug monitoring and control. In this study, a dual functional and recyclable magnetic fluorescent molecularly imprinted polymers (MFMIPs) sensor with high sensitivity for rapid detection and purification of methcathinone in sewage was developed. MFMIPs was prepared via molecular imprinting and conjugation with carbon dots as a fluorescent reporter on Fe3O4 (Fe3O4-MIPs@CDs). With strong recognition and adsorption toward methcathinone by the specific cavities on the surface of MFMIPs, the fluorescence of the sensor could dramatically be quenched once anchored with methcathinone. Under optimal conditions, the MFMIPs sensor presented high sensitivity with a linear range of 0.5–100 nM and a detection limit of 0.2 nM, which would be used to monitor drug prevalence and consumption within a certain region. This sensor was applied to the assay of methcathinone in sewage samples collected from Yuebeiyuan, Yanghu, and Xujiahu sewage pumping stations of Yuelu District. The calculated concentrations of methcathinone were 4.80, 15.33, and 8.59 nM in sewage samples, which were in good agreement with data tested by LC–MS/MS. For another function, MFMIPs exhibited purification toward methcathinone and the adsorption capacity was about 0.27 mg/g in a real sewage sample. Moreover, the sensor could be recycled and reused at least five times with the aid of an external magnetic field. Collectively, with good analytical performance and excellent recognition and selectivity to methcathinone, the proposed sensing system based on the magnetic core and molecularly imprinted polymers would open a door to establish highly sensitive and effective sensing systems for sewage analysis and purification.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Carbon and Quantum Dots Applications · Analytical chemistry methods development · Molecular Sensors and Ion Detection

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Forensic Science, School of Basic Medical Sciences, Central South University, Changsha, Hunan 410013, China

Funding

National Natural Science Foundation of China

References (45)

Show source-provided references
1. 10.1002/jia2.2510310.1002/jia2.25103 ↗
2. 10.1007/s11419-018-0417-x10.1007/s11419-018-0417-x ↗
3. Niaz, K.; Haar, K.; Carpentier, C.; Pietchman, T. World Drug Report 2020 https://wdr.unodc.org/wdr2020/index2020.html. 2020.
4. 10.1002/dta.221810.1002/dta.2218 ↗
5. 10.1016/j.neubiorev.2018.07.01510.1016/j.neubiorev.2018.07.015 ↗
6. 10.1016/S0140-6736(19)32231-710.1016/S0140-6736(19)32231-7 ↗
7. 10.1016/j.scitotenv.2018.03.17510.1016/j.scitotenv.2018.03.175 ↗
8. 10.1021/acs.est.0c0025010.1021/acs.est.0c00250 ↗
9. 10.1007/s11356-019-05575-310.1007/s11356-019-05575-3 ↗
10. 10.1016/j.forsciint.2020.11014810.1016/j.forsciint.2020.110148 ↗
11. 10.1016/j.watres.2020.11678710.1016/j.watres.2020.116787 ↗
12. 10.1016/j.scitotenv.2019.06.32510.1016/j.scitotenv.2019.06.325 ↗
13. 10.1016/j.watres.2020.11655910.1016/j.watres.2020.116559 ↗
14. 10.1038/srep2102410.1038/srep21024 ↗
15. 10.1016/j.bios.2020.11251910.1016/j.bios.2020.112519 ↗
16. 10.1016/j.jhazmat.2020.12394210.1016/j.jhazmat.2020.123942 ↗
17. 10.1016/j.molcata.2015.08.01110.1016/j.molcata.2015.08.011 ↗
18. 10.1016/j.ab.2017.07.01610.1016/j.ab.2017.07.016 ↗
19. 10.1016/j.msec.2019.11050710.1016/j.msec.2019.110507 ↗
20. 10.1016/j.bioelechem.2018.11.00510.1016/j.bioelechem.2018.11.005 ↗
21. 10.1016/j.snb.2014.05.05410.1016/j.snb.2014.05.054 ↗
22. 10.1007/s00604-018-2999-810.1007/s00604-018-2999-8 ↗
23. 10.1016/j.jhazmat.2021.12535310.1016/j.jhazmat.2021.125353 ↗
24. 10.1016/j.jcis.2018.06.05010.1016/j.jcis.2018.06.050 ↗
25. 10.1021/acsami.8b1447210.1021/acsami.8b14472 ↗
26. 10.1016/j.jhazmat.2020.12285410.1016/j.jhazmat.2020.122854 ↗
27. 10.1016/j.bios.2020.11277510.1016/j.bios.2020.112775 ↗
28. 10.7150/thno.2795210.7150/thno.27952 ↗
29. 10.1038/s41551-019-0506-010.1038/s41551-019-0506-0 ↗
30. 10.1002/smll.20170391910.1002/smll.201703919 ↗
31. 10.1038/nmat125110.1038/nmat1251 ↗
32. 10.1039/c3nr05550g10.1039/c3nr05550g ↗
33. 10.1016/j.foodchem.2020.12706310.1016/j.foodchem.2020.127063 ↗
34. 10.1039/C9TC03517F10.1039/C9TC03517F ↗
35. 10.1016/j.foodchem.2021.12912610.1016/j.foodchem.2021.129126 ↗
36. 10.1016/j.talanta.2018.09.06910.1016/j.talanta.2018.09.069 ↗
37. 10.3389/fchem.2019.0041210.3389/fchem.2019.00412 ↗
38. 10.1093/chromsci/bmw08210.1093/chromsci/bmw082 ↗
39. 10.1021/acs.analchem.5b0289910.1021/acs.analchem.5b02899 ↗
40. 10.3390/nano1107178910.3390/nano11071789 ↗
41. 10.1016/j.forsciint.2016.11.03410.1016/j.forsciint.2016.11.034 ↗
42. 10.1016/j.jchromb.2014.08.03310.1016/j.jchromb.2014.08.033 ↗
43. 10.1016/j.chroma.2015.04.00210.1016/j.chroma.2015.04.002 ↗
44. 10.1016/j.foodchem.2021.13172010.1016/j.foodchem.2021.131720 ↗
45. 10.1016/j.snb.2014.05.10310.1016/j.snb.2014.05.103 ↗